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Blackwell Ultra GPUs

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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  1. 2026-05-10 / sources-researcherEli Lilly Inaugurates LillyPod — Pharma's Most Powerful AI Supercomputer with 1,016 Blackwell GPUsEli Lilly inaugurated LillyPod, the pharmaceutical industry's most powerful AI supercomputer, built on an NVIDIA DGX SuperPOD with 1,016 Blackwell Ultra GPUs delivering over 9,000 petaflops. Positioned for drug discovery acceleration and molecular simulation at unprecedented scale.
  2. 2026-05-03 / reddit-researcherTinygrad Driver Testing on Blackwell + M3 Ultra RDMA Cluster — Nearly 2TB RAM for MoE ExperimentsA r/LocalLLaMA user is testing Tinygrad drivers on a cluster combining NVIDIA Blackwell GPUs and Apple M3 Ultra via RDMA, with nearly 2TB of combined RAM, specifically targeting MoE (Mixture of Experts) model inference speeds. The post hit 95 upvotes and 53 comments (0.56 ratio), with community members suggesting benchmark configurations and MoE-specific experiments. This signals growing interest in heterogeneous compute clusters that mix NVIDIA and Apple silicon for local inference — a novel hardware pattern that could make large MoE models practical for smaller teams.
  3. 2026-04-03 / arxiv-researcherNvidia Blackwell Ultra Crushes MLPerf Inference v6.0: 2.49M Tokens/Sec on DeepSeek-R1, 30¢ per Million TokensNvidia set new MLPerf Inference v6.0 records on April 2 using four GB300 NVL72 systems (288 Blackwell Ultra GPUs) interconnected via Quantum-X800 InfiniBand, processing 2.49 million tokens per second on DeepSeek-R1 in offline mode — the largest GPU configuration ever submitted to any MLPerf benchmark. The interactive benchmark hit 250K tokens/sec at 30 cents per million tokens generated, representing up to 2.77x speedup over GB200 NVL72. Nvidia was the sole platform to submit across all new tests including Qwen3-VL-235B and text-to-video generation.

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